Massimo Regona

1.0k total citations · 2 hit papers
7 papers, 576 citations indexed

About

Massimo Regona is a scholar working on Building and Construction, Radiological and Ultrasound Technology and Civil and Structural Engineering. According to data from OpenAlex, Massimo Regona has authored 7 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Building and Construction, 3 papers in Radiological and Ultrasound Technology and 2 papers in Civil and Structural Engineering. Recurrent topics in Massimo Regona's work include BIM and Construction Integration (4 papers), Occupational Health and Safety Research (3 papers) and Infrastructure Maintenance and Monitoring (2 papers). Massimo Regona is often cited by papers focused on BIM and Construction Integration (4 papers), Occupational Health and Safety Research (3 papers) and Infrastructure Maintenance and Monitoring (2 papers). Massimo Regona collaborates with scholars based in Australia, China and Saudi Arabia. Massimo Regona's co-authors include Tan Yiğitcanlar, Rita Yi Man Li, Bo Xia, Carol K.H. Hon, Melissa Teo, Rashid Mehmood, Nayomi Kankanamge, Andrés A. Maldonado, Juan M. Corchado and Kevin C. Desouza and has published in prestigious journals such as ACM Computing Surveys, Sustainability and Sustainable Cities and Society.

In The Last Decade

Massimo Regona

6 papers receiving 536 citations

Hit Papers

Opportunities and Adoption Challenges of AI in the Constr... 2022 2026 2023 2024 2022 2024 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Massimo Regona Australia 6 216 100 80 66 64 7 576
Eric Forcael Chile 13 345 1.6× 197 2.0× 56 0.7× 44 0.7× 125 2.0× 60 681
Carmel Lindkvist Norway 16 363 1.7× 179 1.8× 62 0.8× 17 0.3× 48 0.8× 38 820
Temitope Omotayo United Kingdom 19 412 1.9× 243 2.4× 40 0.5× 52 0.8× 56 0.9× 58 810
Yuanxin Zhang China 13 263 1.2× 155 1.6× 17 0.2× 42 0.6× 44 0.7× 56 622
Steven Davis Australia 15 297 1.4× 295 3.0× 35 0.4× 106 1.6× 48 0.8× 42 682
Duzgun Agdas Australia 17 296 1.4× 116 1.2× 41 0.5× 17 0.3× 79 1.2× 45 868
Reda M. S. Abdulaal Saudi Arabia 10 120 0.6× 361 3.6× 28 0.3× 68 1.0× 43 0.7× 17 645
Serkan Kıvrak Türkiye 13 272 1.3× 308 3.1× 18 0.2× 52 0.8× 26 0.4× 27 663
Michael Atafo Adabre Hong Kong 14 652 3.0× 274 2.7× 16 0.2× 98 1.5× 90 1.4× 24 1.1k
G. Arslan Türkiye 12 245 1.1× 278 2.8× 18 0.2× 42 0.6× 15 0.2× 24 612

Countries citing papers authored by Massimo Regona

Since Specialization
Citations

This map shows the geographic impact of Massimo Regona's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Massimo Regona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Regona more than expected).

Fields of papers citing papers by Massimo Regona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo Regona. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Massimo Regona. The network helps show where Massimo Regona may publish in the future.

Co-authorship network of co-authors of Massimo Regona

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Regona. A scholar is included among the top collaborators of Massimo Regona based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Massimo Regona. Massimo Regona is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Regona, Massimo, et al.. (2026). Building Trust in Artificial Intelligence: A Systematic Review through the Lens of Trust Theory. ACM Computing Surveys. 58(9). 1–39.
2.
Regona, Massimo, Tan Yiğitcanlar, Carol K.H. Hon, & Melissa Teo. (2024). Artificial intelligence and sustainable development goals: Systematic literature review of the construction industry. Sustainable Cities and Society. 108. 105499–105499. 87 indexed citations breakdown →
3.
Regona, Massimo, Tan Yiğitcanlar, Carol K.H. Hon, & Melissa Teo. (2023). Mapping Two Decades of AI in Construction Research: A Scientometric Analysis from the Sustainability and Construction Phases Lenses. Buildings. 13(9). 2346–2346. 19 indexed citations
4.
Regona, Massimo, Tan Yiğitcanlar, Bo Xia, & Rita Yi Man Li. (2022). Opportunities and Adoption Challenges of AI in the Construction Industry: A PRISMA Review. Journal of Open Innovation Technology Market and Complexity. 8(1). 45–45. 268 indexed citations breakdown →
5.
Yiğitcanlar, Tan, et al.. (2022). Detecting Natural Hazard-Related Disaster Impacts with Social Media Analytics: The Case of Australian States and Territories. Sustainability. 14(2). 810–810. 37 indexed citations
6.
Regona, Massimo, Tan Yiğitcanlar, Bo Xia, & Rita Yi Man Li. (2022). Artificial Intelligent Technologies for the Construction Industry: How Are They Perceived and Utilized in Australia?. Journal of Open Innovation Technology Market and Complexity. 8(1). 16–16. 46 indexed citations
7.
Yiğitcanlar, Tan, Nayomi Kankanamge, Massimo Regona, et al.. (2020). Artificial Intelligence Technologies and Related Urban Planning and Development Concepts: How Are They Perceived and Utilized in Australia?. Journal of Open Innovation Technology Market and Complexity. 6(4). 187–187. 119 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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